Treatment Response in Depressed Adolescents With and Without Co-Morbid Attention-Deficit/Hyperactivity Disorder in the Treatment for Adolescents with Depression Study
Bibliographic record
Abstract
OBJECTIVE: In the Treatment for Adolescents with Depression Study (TADS), fluoxetine (FLX) and the combination of fluoxetine with cognitive-behavioral therapy (COMB) had superior improvement trajectories compared to pill placebo (PBO), whereas cognitive-behavioral therapy (CBT) was not significantly different from PBO. Because attention-deficit/hyperactivity disorder (ADHD) and major depressive disorder (MDD) frequently co-exist, we examined whether ADHD moderated these outcomes in TADS. METHOD: A total of 439 adolescents with MDD, 12-17 years old, were randomized to FLX, CBT, COMB, or PBO. Random coefficients regression models examined depression improvement in 377 depressed youths without ADHD and 62 with ADHD, including 20 who were treated with a psychostimulant. RESULTS: Within the ADHD group, the improvement trajectories of the three active treatments were similar, all with rates of improvement greater than PBO. For those without ADHD, only COMB had a rate of improvement that was superior to PBO. CONCLUSIONS: Co-morbid ADHD moderated treatment of MDD. CBT alone or FLX alone may offer benefits similar to COMB in the treatment of MDD in youths with co-morbid MDD and ADHD, whereas monotherapy may not match the benefits of COMB for those without ADHD. The ADHD subgroup analysis presented in this paper is exploratory in nature because of the small number of youths with ADHD in the sample. CLINICAL TRIAL REGISTRY: www.clinicaltrials.gov Identifier: NCT00006286. The TADS protocol and all of the TADS manuals are available on the Internet at https://trialweb.dcri.duke.edu/tads/index.html .
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".